Correlation Study Of Blood Lipid And Type2Diabetes Peripheral Neuropathy

Objective:By comparing the lipid levels and other relevant clinical indicators between thegroup of diabetic peripheral neuropathy group and the group of non-diabetic peripheralneuropathy group, in order to study the relationship between blood lipid and diabetesperipheral neuropathy.Methods:According to the inclusion criteria and exclusion criteria, select138cases of type2diabetes patients from the hospital of Dongguan Branch of Yan’an University AffiliatedHospital. Determine motor conduction velocity (MCV) of the median nerve, tibial nerve,phil total nerve, and sensory conduction velocity (SCV) of the median nerve, ulnar nerveand sural nerve of the bilateral limbs by means of EMG.Divided people with diabetesinto two groups, DPN group and NDPN group, basing on EMG findings and clinicalsymptoms of peripheral neuropathy. There is63cases in the DPN group and75in theNDPN group. Record the selected patients’ general information, such as age, sex, weight,height, course of the disease, blood pressure. And record the selected patients’biochemical data, such as total cholesterol (TC), triglycerides (TG), low densitylipoprotein cholesterol (LDL-C), high density lipoprotein cholesterol (HDL-C), fastingblood glucose (FBG), apolipoprotein A (ApoA), apolipoprotein B (ApoB), glycosylatedhemoglobin (HbAlc), fasting insulin (FINS) and blood uric acid (UA) and24hours urinetrace albumin (UAE). Calculate body mass index (BMI) and insulin resistance index(HOMA-IRI). Use statisical methods to deal with the two groups’ indexes thoughSPSSl6.0software.Results:1. The age, sex, BMI, SBP, DBP, FBG, HbA1c and UA between the two groupswere no significant difference (P>0.05).2. The course of disease and UAE had significant difference between the two groups(P<0.05), which were higher in the DPN group. The fasting insulin and HOMA-IRI had significant difference between the two groups (P<0.05), which were lower in the DPNgroup.3. The TG, TC, HDL-C, LDL-C, ApoA and ApoB between the two groups were nosignificant difference (P>0.05).4. In the group of diabetic peripheral neuropathy, the motor condution velocity ofmedian nerve was negatively correlated with ApoB (r=-0.293, P<0.05). The motorcondution velocity of tibial nerve and the sensory conduction velocity of median nervewere positively correlated with HDL-C (r=0.340, r=0.410, P<0.05). The sensoryconduction velocity of ulnar nerve was positively correlated with HDL-C and FINS(r=0.410, r=0.385, P<0.05), it was negatively correlated with HOMA-IRI(r=-0.407,P<0.05). The sensory conduction velocity of sural nerve was negatively correlated withHbA1c and LDL-C (r=-0.382, r=-0.358, P <0.05), it was was positively related withHDL-C (r=0.535, P <0.01).5. The result of multiple linear stepwise regression analysis was that abnormal nerveconduction velocity related to HDL-C, HbA1c and HOMA-IRI independently (P <0.05),there was no significant correlation with other factors.Conclusions:1. There was no significant difference between the two groups of blood lipids.2. The course of disease and UAE were significantly higher in the DPN group thanthat in another group. The fasting insulin and HOMA-IRI had significant differencebetween the two groups (P<0.05), which were lower in the DPN group.3. The correlation analysis showed that nerve conduction velocity was positivelycorrelated with HDL-C and FINS, it was negatively correlated with HbA1c,ApoB,LDL-C and HOMA-IRI. It prompted that HDL-C, HbA1c and HOMA-IRI maybe the independent predictors of abnormal nerve conduction velocity.